A Dynamic Time Warping-Transfer Learning Approach to Transferring Knowledge in Stress-strain Behaviors from Polymers to Metals: An Affordable and Generalizable Additive Manufacturing Part Qualification Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Duan, Chenglong, Wu, Dazhong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Predicting Stress-strain Behaviors of Additively Manufactured Materials via Loss-based and Activation-based Physics-informed Machine Learning
by: Duan, Chenglong, et al.
Published: (2026)
by: Duan, Chenglong, et al.
Published: (2026)
Time-Warping Recurrent Neural Networks for Transfer Learning
by: Hirschi, Jonathon
Published: (2026)
by: Hirschi, Jonathon
Published: (2026)
Selecting Subsets of Source Data for Transfer Learning with Applications in Metal Additive Manufacturing
by: Tang, Yifan, et al.
Published: (2024)
by: Tang, Yifan, et al.
Published: (2024)
Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks
by: Hirschi, Jonathon, et al.
Published: (2026)
by: Hirschi, Jonathon, et al.
Published: (2026)
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations
by: Pan, Shuaiqun, et al.
Published: (2025)
by: Pan, Shuaiqun, et al.
Published: (2025)
Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing
by: Patel, D., et al.
Published: (2025)
by: Patel, D., et al.
Published: (2025)
LLM-ADAM: A Generalizable LLM Agent Framework for Pre-Print Anomaly Detection in Additive Manufacturing
by: Eslaminia, Ahmadreza, et al.
Published: (2026)
by: Eslaminia, Ahmadreza, et al.
Published: (2026)
Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AI
by: Laurelli, Michele
Published: (2024)
by: Laurelli, Michele
Published: (2024)
Understanding Knowledge Transferability for Transfer Learning: A Survey
by: Wang, Haohua, et al.
Published: (2025)
by: Wang, Haohua, et al.
Published: (2025)
An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing
by: Cantu, Frida, et al.
Published: (2025)
by: Cantu, Frida, et al.
Published: (2025)
Scalable AI Framework for Defect Detection in Metal Additive Manufacturing
by: Phan, Duy Nhat, et al.
Published: (2024)
by: Phan, Duy Nhat, et al.
Published: (2024)
Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification
by: Qu, Jintao, et al.
Published: (2025)
by: Qu, Jintao, et al.
Published: (2025)
A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
by: Shen, Jianlu, et al.
Published: (2026)
by: Shen, Jianlu, et al.
Published: (2026)
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
by: Fu, Yonggan, et al.
Published: (2023)
by: Fu, Yonggan, et al.
Published: (2023)
A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning
by: Daoudi, Paul, et al.
Published: (2023)
by: Daoudi, Paul, et al.
Published: (2023)
Feature Qualification by Deep Nets: A Constructive Approach
by: Cao, Feilong, et al.
Published: (2025)
by: Cao, Feilong, et al.
Published: (2025)
An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer with Differentiable Simulation
by: Shi, Lu, et al.
Published: (2025)
by: Shi, Lu, et al.
Published: (2025)
Query-based Knowledge Transfer for Heterogeneous Learning Environments
by: Alballa, Norah, et al.
Published: (2025)
by: Alballa, Norah, et al.
Published: (2025)
Rethinking Knowledge Transfer in Learning Using Privileged Information
by: Provodin, Danil, et al.
Published: (2024)
by: Provodin, Danil, et al.
Published: (2024)
Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization
by: Karkaria, Vispi, et al.
Published: (2024)
by: Karkaria, Vispi, et al.
Published: (2024)
Robust Knowledge Transfer in Tiered Reinforcement Learning
by: Huang, Jiawei, et al.
Published: (2023)
by: Huang, Jiawei, et al.
Published: (2023)
Exploration in Knowledge Transfer Utilizing Reinforcement Learning
by: Jedlička, Adam, et al.
Published: (2024)
by: Jedlička, Adam, et al.
Published: (2024)
LLM Pretraining Shapes a Generalizable Manifold: Insights into Cross-Modal Transfer to Time Series
by: Roger, Alexis, et al.
Published: (2026)
by: Roger, Alexis, et al.
Published: (2026)
Transfer Learning for Assessing Heavy Metal Pollution in Seaports Sediments
by: Lai, Tin, et al.
Published: (2025)
by: Lai, Tin, et al.
Published: (2025)
Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework
by: Zhang, Qingyue, et al.
Published: (2026)
by: Zhang, Qingyue, et al.
Published: (2026)
Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
by: Chen, Elynn, et al.
Published: (2024)
by: Chen, Elynn, et al.
Published: (2024)
Global Safe Sequential Learning via Efficient Knowledge Transfer
by: Li, Cen-You, et al.
Published: (2024)
by: Li, Cen-You, et al.
Published: (2024)
Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry-Informed Transfer Learning
by: Barra, Julian, et al.
Published: (2024)
by: Barra, Julian, et al.
Published: (2024)
MechProNet: Machine Learning Prediction of Mechanical Properties in Metal Additive Manufacturing
by: Akbari, Parand, et al.
Published: (2022)
by: Akbari, Parand, et al.
Published: (2022)
Trustworthy Transfer Learning: A Survey
by: Wu, Jun, et al.
Published: (2024)
by: Wu, Jun, et al.
Published: (2024)
Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework
by: Wang, Zitao, et al.
Published: (2025)
by: Wang, Zitao, et al.
Published: (2025)
Conditional Deep Canonical Time Warping
by: Steinberg, Afek, et al.
Published: (2024)
by: Steinberg, Afek, et al.
Published: (2024)
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
by: Liu, Yan, et al.
Published: (2024)
by: Liu, Yan, et al.
Published: (2024)
Deep Transfer Learning: Model Framework and Error Analysis
by: Jiao, Yuling, et al.
Published: (2024)
by: Jiao, Yuling, et al.
Published: (2024)
Lightweight and Scalable Transfer Learning Framework for Load Disaggregation
by: Garcia-Marrero, L. E., et al.
Published: (2026)
by: Garcia-Marrero, L. E., et al.
Published: (2026)
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
by: Pan, Chaofan, et al.
Published: (2024)
by: Pan, Chaofan, et al.
Published: (2024)
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble
by: Luo, Fan-Ming, et al.
Published: (2022)
by: Luo, Fan-Ming, et al.
Published: (2022)
Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks
by: Sajadi, Pouyan, et al.
Published: (2024)
by: Sajadi, Pouyan, et al.
Published: (2024)
AdditiveLLM: Large Language Models Predict Defects in Additive Manufacturing
by: Pak, Peter, et al.
Published: (2025)
by: Pak, Peter, et al.
Published: (2025)
Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
by: Sousa, Rita T., et al.
Published: (2025)
by: Sousa, Rita T., et al.
Published: (2025)
Similar Items
-
Predicting Stress-strain Behaviors of Additively Manufactured Materials via Loss-based and Activation-based Physics-informed Machine Learning
by: Duan, Chenglong, et al.
Published: (2026) -
Time-Warping Recurrent Neural Networks for Transfer Learning
by: Hirschi, Jonathon
Published: (2026) -
Selecting Subsets of Source Data for Transfer Learning with Applications in Metal Additive Manufacturing
by: Tang, Yifan, et al.
Published: (2024) -
Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks
by: Hirschi, Jonathon, et al.
Published: (2026) -
Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations
by: Pan, Shuaiqun, et al.
Published: (2025)